基于地理信息元组的分类预测理论及应用——以中亚矿集区预测为例

Geographic information tuple based classification assessment theory and application——a case of the Central Asia

地理信息科学的迅速发展为矿集区预测提供了新的理论依据,使地理信息理论、相应的技术方法组合及应用的整体研究成为可能。在大量理论和实验研究的基础上提出了基于地理信息元组的分类预测理论体系,该理论体系由六个概念、一个空间信息本质、两个空间信息特性以及六个空间信息相关方法和约定的构成。并在该理论体系基础上结合空间数据分析方法和探索式空间数据分析方法,建立了基于地理信息元组的分类预测模型。应用该模型在中亚区域实现了Au矿集区预测目标。为中亚成矿域中其它区域(如新疆)的矿集区预测研究奠定了理论与方法论基础。

The fast development of geographic information science provides new theoretic foundation for metallogenic district mapping. It makes the systematic research on geographic information applying theory, techniques combination and application possible. In this paper, by great deal of theoretical and experimental research, a new theory was put forward, which is geographic information tuples based classification assessment theory. The theory consists of six concepts, one spatial information essence, two spatial information specialties and six processing agreements of spatial information. Based on the theoretic system, combining spatial data analysis and exploratory spatial data analysis, a classification assessment model was constructed and using the model, Au metallogenic district mapping in Central Asia was carried out and ideal results was obtained. The theory and the model can be regarded as the theoretical and methodological foundation for metallogenic district mapping in other districts.